What is Google Trends data - and what does it mean?īrought to you by General Mills, (that’s right - the same people who brought you Cheerios and Lucky Charms) PyTrends is an unofficial Pseudo API package in Python that makes it easy to create magnificent new Google Trend data sets and pull them straight into a table. For more details on how this data is collected, manipulated, and interpreted here are two useful links: It is measuring the normalized, relative share of Google searches on a topic compared to all other searches for that time and place. It is not measuring the overall query volume. However, there is a key nuance to this data. You can also compare up to five different search topics. On the Google Trends website, you can measure interest on a search topic over time or by geography. Google Trends is a great public tool to see what people are doing on the internet. We can now measure the behavior of people by watching what they do on the internet.
We live in a wonderful new age where we no longer have to solely rely on data sets created from surveys. Inspired by this, I decided to use Google Trends data to explore what day and time people are searching for details on breaking up. Another pattern that emerged was a cyclical spike every Monday. The answer was peak break up times according to Facebook status updates.Īccording to 10,000 scraped Facebook statuses they found there is a clearing out for Spring Break and a second breakup peak leading up to the Winter holidays. “What rises twice a year, once in Easter and then two weeks before Christmas, has a mini peak every Monday and then flattens out over the summer?”ĭavid McCandless asked this question to his audience during his TED talk, The Beauty of Data Visualization. Visualization by Shelby Temple Data Source Google Trends Made with PyTrends and Tableau There is a Cyclical Nature to Breakups
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